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Information Technology 🏢 Full Time ⭐️ Verified

2026 Quantum AI Architect

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Join Nexus Future Labs at the forefront of technological evolution as we prepare for the quantum-AI revolution of 2026. We're seeking a visionary Quantum AI Architect to design and implement next-generation systems that will redefine computational boundaries. This role offers unparalleled opportunities to shape humanity's digital future while working in our state-of-the-art R&D facility in San Francisco's tech corridor.

As a key member of our Future Technologies Division, you'll collaborate with Nobel laureates, industry pioneers, and government agencies to develop quantum-resistant AI frameworks. The ideal candidate thrives at the intersection of theoretical physics and practical AI implementation, with a passion for solving humanity's most complex challenges through technological innovation.

Responsibilities

  • Design and implement quantum-resistant neural architectures compatible with 2026-era quantum computing hardware
  • Lead cross-disciplinary teams in developing hybrid quantum-classical AI systems for enterprise applications
  • Develop security frameworks to protect against quantum-enabled cyber threats
  • Create predictive models for quantum computing scalability and adoption timelines
  • Collaborate with regulatory bodies to establish ethical AI standards for 2026 deployment
  • Pioneer novel algorithms leveraging quantum entanglement for real-time data processing
  • Present breakthrough findings at global technology summits and publish in leading journals

Qualifications

  • PhD in Quantum Computing, Theoretical Physics, or Advanced Machine Learning (or equivalent experience)
  • 5+ years developing production-level AI systems with quantum algorithm implementation
  • Expertise in quantum error correction, QML frameworks, and NISQ hardware optimization
  • Published research in quantum-AI integration or top-tier conference proceedings
  • Proficiency with quantum programming languages (Q#, Qiskit, Cirq) and classical ML frameworks
  • Experience securing systems against quantum attacks (post-quantum cryptography)
  • Track record of leading multidisciplinary R&D projects with measurable impact

Required Skills

Quantum Computing Machine Learning AI Architecture Post-Quantum Cryptography QML Quantum Error Correction Theoretical Physics R&D Leadership

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